Improved Speech-Presence Uncertainty Estimation Based on Spectral Gradient for Global Soft Decision-Based Speech Enhancement
- Title
- Improved Speech-Presence Uncertainty Estimation Based on Spectral Gradient for Global Soft Decision-Based Speech Enhancement
- Author
- 장준혁
- Keywords
- global soft decision; speech-presence uncertainty; spectral gradient; NOISE SUPPRESSION FILTER; CONDITIONAL MAP; ENVIRONMENTS
- Issue Date
- 2013-10
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, KIKAI-SHINKO-KAIKAN BLDG, 3-5-8, SHIBA-KOEN, MINATO-KU, TOKYO, 105-0011, JAPAN
- Citation
- IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2013, E96A(10), P.2025-2028
- Abstract
- In this paper, we propose a speech-presence uncertainty estimation to improve the global soft decision-based speech enhancement technique by using the spectral gradient scheme. The conventional soft decision-based speech enhancement technique uses a fixed ratio (Q) of the a priori speech-presence and speech-absence probabilities to derive the speech-absence probability (SAP). However, we attempt to adaptively change Q according to the spectral gradient between the current and past frames as well as the status of the voice activity in the previous two frames. As a result, the distinct values of Q to each frequency in each frame are assigned in order to improve the performance of the SAP by tracking the robust a priori information of the speech-presence in time.
- URI
- https://www.jstage.jst.go.jp/article/transfun/E96.A/10/E96.A_2025/_articlehttps://repository.hanyang.ac.kr/handle/20.500.11754/70824
- ISSN
- 0916-8508; 1745-1337
- DOI
- 10.1587/transfun.E96.A.2025
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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